| Prediction of protein–protein interactions using random decision forest framework XW Chen, M Liu Bioinformatics 21 (24), 4394-4400, 2005 | 485 | 2005 |
| A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries M Jiang, Y Chen, M Liu, ST Rosenbloom, S Mani, JC Denny, H Xu Journal of the American Medical Informatics Association 18 (5), 601-606, 2011 | 318 | 2011 |
| Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs M Liu, Y Wu, Y Chen, J Sun, Z Zhao, X Chen, ME Matheny, H Xu Journal of the American Medical Informatics Association 19 (e1), e28-e35, 2012 | 292 | 2012 |
| Application of evolutionary computation for rule discovery in stock algorithmic trading: a literature review Y Hu, K Liu, X Zhang, L Su, EWT Ngai, M Liu Applied Soft Computing, 534-551, 2015 | 226 | 2015 |
| Software project risk analysis using Bayesian networks with causality constraints Y Hu, X Zhang, EWT Ngai, R Cai, M Liu Decision Support Systems 56, 439-449, 2013 | 221 | 2013 |
| Poster: A reliable and accountable privacy-preserving federated learning framework using the blockchain S Awan, F Li, B Luo, M Liu Proceedings of the 2019 ACM SIGSAC conference on computer and communications …, 2019 | 124 | 2019 |
| A causal feature selection algorithm for stock prediction modeling X Zhang, Y Hu, K Xie, S Wang, EWT Ngai, M Liu Neurocomputing 142, 48-59, 2014 | 120 | 2014 |
| Stock Trading Rule Discovery with an Evolutionary Trend Following Model Y Hu, B Feng, X Zhang, EWT Ngai, M Liu Expert Systems with Applications 42 (1), 212-222, 2015 | 85 | 2015 |
| Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records M Liu, ER McPeek Hinz, ME Matheny, JC Denny, JS Schildcrout, ... Journal of the American Medical Informatics Association 20 (3), 420-426, 2013 | 81 | 2013 |
| Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports R Cai, M Liu, Y Hu, BL Melton, ME Matheny, LR Duan, Lian, Waitman Artificial Intelligence in Medicine, 2017 | 80 | 2017 |
| Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction X Song, ASL Yu, JA Kellum, LR Waitman, ME Matheny, SQ Simpson, ... Nature communications 11 (1), 5668, 2020 | 76 | 2020 |
| Robust clinical marker identification for diabetic kidney disease with ensemble feature selection X Song, LR Waitman, Y Hu, ASL Yu, DC Robbins, L Mei Journal of American Medical Informatics Association 26 (3), 242-253, 2019 | 66 | 2019 |
| Predicting inpatient acute kidney injury over different time horizons: how early and accurate? P Cheng, LR Waitman, Y Hu, M Liu AMIA Annual Symposium Proceedings 2017, 565, 2017 | 64 | 2017 |
| An integrative framework for intelligent software project risk planning Y Hu, J Du, X Zhang, X Hao, EWT Ngai, M Fan, M Liu Decision Support Systems 55 (4), 927-937, 2013 | 64 | 2013 |
| Ranking gene-drug relationships in biomedical literature using latent dirichlet allocation Y Wu, M Liu, WJ Zheng, Z Zhao, H Xu Biocomputing 2012, 422-433, 2012 | 61 | 2012 |
| A study of transportability of an existing smoking status detection module across institutions M Liu, A Shah, M Jiang, NB Peterson, Q Dai, MC Aldrich, Q Chen, ... AMIA Annual Symposium Proceedings 2012, 577, 2012 | 61 | 2012 |
| Software project risk management modeling with neural network and support vector machine approaches Y Hu, J Huang, J Chen, M Liu, K Xie Third International Conference on Natural Computation (ICNC 2007) 3, 358-362, 2007 | 60 | 2007 |
| A scalable intelligent non-content-based spam-filtering framework Y Hu, C Guo, EWT Ngai, M Liu, S Chen Expert Systems with Applications 37 (12), 8557-8565, 2010 | 58 | 2010 |
| COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model J Wang, N Abu-el-Rub, J Gray, HA Pham, Y Zhou, FJ Manion, M Liu, ... Journal of the American Medical Informatics Association 28 (6), 1275-1283, 2021 | 53 | 2021 |
| A neural networks approach for software risk analysis H Yong, C Juhua, R Zhenbang, M Liu, X Kang Sixth IEEE International Conference on Data Mining-Workshops (ICDMW'06), 722-725, 2006 | 49 | 2006 |
